AI Engineering / ML Platform Engineering Recruitment

ML Platform Engineers are the backbone of modern AI teams. They design the systems that enable scalable training, experimentation, and deployment. We help companies hire engineers who can build robust, high-performance ML platforms from the ground up.

We focus on engineers with experience in:

• Distributed data processing and training frameworks (Ray, Spark, PyTorch Distributed) 
• Feature stores, data pipelines, and metadata management
• Model registries and experiment tracking
• Infrastructure-as-code (Terraform, Pulumi)
• Cloud-native architecture across AWS, GCP, or Azure

These are engineers who think in systems, not scripts.

We understand the difference between platform engineering and MLOps — and we know how rare true platform builders are. Our candidates have designed the foundations that allow AI teams to scale.